KR20170127087A - Method for Management of River Facility through River Diagnosis and System thereof - Google Patents

Abstract

The present invention relates to a management method and a system thereof to prevent a disaster and improve the efficiency of facility management by diagnosing the situation of a river based on past data including a disaster history of the river, current data including hydrological data, facility data, and inspection data, and prediction data including hydraulic and hydrological modeling and by reflecting the diagnosis in an inspection plan and maintenance plane of a river facility. The river facility management system through river diagnosis comprises: a river status management unit for storing facility operation information and maintenance history information updated from a river facility management DB of a facility operation management unit; a topographical data management unit for collecting river cross-sectional information, river boundary information, DEM information of inside and outside the ground, a river network, a facility location map, and river characteristic information and storing the same according to a spatial information standard format of a GIS server; a river diagnosis unit for performing a diagnosis according to the river status selecting the maintenance and inspection priorities of the facility and a diagnosis according to the scenario through a floodplain, silt and riverbed change model and then storing the same in a river diagnosis integrated DB of an integrated DB server; and the facility operation management unit for establishing a plan based on the river diagnosis result of the river diagnosis unit, storing a result of operation, inspection, and maintenance according to the established plan in the river facility management DB of the integrated DB server, correcting a result of the established plan, and reflecting the corrected result at the next planning.

Description

TECHNICAL FIELD [0001] The present invention relates to a method for managing a river facility through a river diagnosis,

The present invention relates to a method for diagnosing a river, and more particularly, to a method for diagnosing a river by providing information on the past including the disaster history of the river, the hydrological data, the status data including the facility data and inspection data, The present invention relates to a management method and system for improving the efficiency of prevention of disasters and facilities management by reflecting a river condition based on predicted data including hydrological modeling in a river facility inspection plan and a maintenance plan.

In general, for the management of river facilities, the inspection plan is established as the concept of regular inspection without taking into consideration the importance of the facilities and the status of the river, and in the establishment of river maintenance and repair plan of facilities, administrative convenience and uniformity . In addition, the operation of river facilities is centered on the acquisition and the size of the river, and recently it is operated considering the increase of power generation and water pollution.

In addition to the characteristics of river facility management, which is required to manage a wide area with limited resources, the importance of the river management due to the various river facilities and the abnormal climate increased through the 4 Rivers Project, and especially, There are various problems caused by sedimentation / erosion according to the behavior. However, it is difficult to check the various sedimentation and erosion phenomena occurring in the riverbed, which is the main focus of the conventional river facilities management.

In addition, it is necessary to intensively control facilities in flooded areas in forecasting flood occurrence, but it is difficult to guess flooded areas, and it is necessary to promptly and quickly respond to flooded areas in case of flood damage, The restoration is performed according to the sections.

Therefore, in order to solve the above problem, the life cycle of the river facilities, that is, the planning, establishment, operation, management and maintenance of the river facilities are integrally managed, and information on each facility's disaster history, Although it should be reflected in each life cycle decision-making, there is no systematic method for collecting systematic data, quantifying the processing method of collected data, and the result to be used directly for decision making by users. There was a problem that the difficulty was exposed.

As a prior art, Korean Patent Laid-Open Publication No. 10-2014-0119223 discloses a system and method for managing a river facility, wherein (a) when a manager's mobile terminal contacts an NFC tag attached to a river facility, the river facility management application installed in the manager's mobile terminal is automatically executed Causing the control module of the application to access the management server through a communication network and perform an administrator login through the manager information DB; (b) when the login is made through the management server, the control module displays a screen for selecting a river facility to be managed and received from the river facility information DB through the management server on the screen of the mobile terminal; (c) When the mobile terminal contacts the NFC tag and reads the information of the NFC tag, the control module receives information about the river facility to which the NFC tag is attached from the river facility information DB through the management server, The control module displays a plurality of check items and checklists corresponding to the selected facility when the menu for checking the corresponding river facilities is selected from the facility specification information displayed on the screen of the mobile terminal, And storing the check information of the corresponding plurality of check items in the stream facility information DB through the management server.

Korean Patent Publication No. 10-2014-0119223 (published Oct. 10, 2014)

In order to solve the above problem, the present invention is to solve the above-mentioned problems, and to provide a method and apparatus for selecting a facility for management / operation of a facility among river condition information, disaster history information, disaster occurrence prediction information, It is aimed at establishing a river facility management system so that it can be used immediately for decision making based on the reference value.

It is another object of the present invention to provide a system for quantifying selected factors by items and a system for applying criteria and methods for evaluating quantified values.

In order to predict the dredging, sedimentation and flood flooding extent of the river bed which is difficult to routinely check / predict by the river manager, Another object of the present invention is to provide a method and system for supporting decision making according to a reference value by converting the input and output files of each model, standardizing and providing the output values of the output models, and quantifying the provided result values.

(A) collecting disaster history information, hydrological information, and facility operation information data from a terminal of a field person through a wired / wireless communication network in real time in a stream status management unit by a field person in charge of a river facility, ; (b) The river current management section corrects the omission data from the collected real-time data by the data quality management algorithm by the omission side correction and the RDS correction in the data processing system (DPS) of the middleware server, The flow data is converted into the HQ Rating Curve, and the rainfall data and AWS (Automatic Weather Stations) data are redistributed by the space time processing to be calculated, and the facility operation information is converted into the flow rate; (c) The river status management unit stores the hydrological information and facility operation information processed in the hydrologic information DB of the river status integrated DB, stores the disaster history information in the disaster history DB of the river status integrated DB, Storing the information collected from the river facility management DB in the facility status DB of the river status integrated DB, respectively; (d) The GIS server's terrain data management unit collects spatial information and stores it in the stream characteristic database and the spatial information DB of the terrain data integration DB according to the standard format, and the grid generation system (MGS) installed in the engineering workstation (EWS) Generating a computed grid as input data for performing the similarity and the bed variation model and storing the computed grid in the computed grid DB; (e) The river diagnosis department receives the facility information of the four factors (installation date, structure condition evaluation, disaster data (disaster occurrence frequency), and disaster occurrence prediction data (disaster occurrence probability) And if the evaluation items for each factor are within the limit value, weights are given and added according to the importance of each factor, and according to the range of the sum value, ), Critical (Significant), and normal (Moderate) to determine the secondary priority and quantify according to the current status of the river diagnosis; (f) The river diagnosis department receives the input data from the terrain data integration DB and the stream status integration database of the terrain data management unit, and inputs the result data obtained by the model execution through the floodplain, the similar and the river variation model and the scenario selection, A step of diagnosing according to a scenario in which a model result is stored after being stored in a DB; (g) The river diagnosis department diagnoses according to the current status of rivers and diagnoses according to the scenarios. Then, in order to support the decision on the inspection and maintenance of the river diagnosis result that determines the maintenance priority and maintenance priority, And a step of storing a plan established on the basis of the result of the river diagnosis in the facility management management section in a river facility management DB, and a method of managing a river facility through the river diagnosis.

According to a feature of the present invention, in the step (e), the reference value may be a period of effective use of the facility when the factor is the installation date of the facility, E (bad) when the structure is evaluated, , And, in the case of disaster prediction data, the probability of a disaster.

In addition, in the step (f) of the present invention, since each model is different in the input format and the output format, the input data is converted into the input file format of each model and the result data is displayed in a single screen In order to convert different result file formats into a single format.

In addition, in the step (f) of the present invention, the quantification of the model results is performed by summing up the entire sediment amount and the sediment amount before and after the scenario, the accumulation amount and the maximum value and the minimum value And may be a comparison of the application and sedimentation amount with the reference value of the sedimentation amount.

In addition, the present invention collects disaster history information, hydrological information, and facility operation information inputted through a wired / wireless communication network terminal by a field person in real time on inspection information and maintenance information of a measurement facility and an operation facility installed on the field of a river facility It is processed by the algorithm of the data processing system of the middleware server and then stored in the database of integrated status of the stream database of the integrated DB server and the status of the updated stream of facility operation information and maintenance and maintenance history information from the stream facility management DB Management; (EWS) lattice generation system (EWS), which collects river cross section information, river boundary information, DEM information of inside and outside ground, river network, facility location map and river characteristic information, A topographical data management unit for generating a calculation grid, which is a basic input data for carrying out the similarity and bed variation model in the MGS, and storing the calculation grid in the GIS server 's terrain data integration database; Based on the four factors of installation date, structure condition evaluation, disaster data and disaster occurrence prediction data from the above river integration database, diagnosis based on the current status of river repair and maintenance priorities and floodplain, A diagnosis unit for storing the diagnosis results in the database of the integrated DB server, and a flow diagnosis unit for analyzing the results of the river diagnosis and the operation and maintenance according to the established plans , And the result of the maintenance is stored in the DB of the integrated DB server, and the result of the established plan is corrected, and then the DB is provided with a facility operation management section which is reflected in the next plan establishment, thereby providing a river facility management system Feature.

In addition, in the feature of the present invention, the river status integrated DB may include a hydrological information DB, a disaster history DB, and a facility status DB.

In addition, in the feature of the present invention, the terrain data integration DB may include a river characteristic DB, a spatial information DB, and a computation grid DB.

Also, in the present invention, the river diagnosis according to the scenario in the river diagnosis department is basically carried out by the floodplain, similarity and river bed variation model, and the dredging plan, the storage stability analysis, the beam / It can include HEC-RAS, RIDOM, NAYS2D, TELEMAC2D, HDM2D, and CCHE2D models depending on the purpose of confluence bed analysis.

According to the present invention, it is possible to integrate management information such as the hydrological status of a river, facilities, etc., which have been separately managed, and disaster history and prediction information, to quantify and provide decision information necessary for the establishment, operation and maintenance of a river, It is possible to establish and operate an optimal plan and utilize it as planning data for next year based on established plan and operation data.

In addition, the present invention has an advantage in that it is possible to increase the efficiency of work and prevent disasters by securing the stability to manage and operate the river facilities from the disaster with limited resources in a more reasonable and optimal condition.

FIG. 1 is a configuration diagram of a river facility management system through a river diagnosis according to an embodiment of the present invention.
FIG. 2 is a block diagram showing a river facility management system through a river diagnosis according to the present invention.
3 to 5 are block diagrams showing a detailed configuration of a river facility management system through a river diagnosis according to the present invention.
6 is a flowchart illustrating a method of managing a river facility through a river diagnosis according to the present invention.
FIG. 7 is a graphical user interface (GUI) example showing the status of a repair gates in the stream status management part of the river facility management system through the river diagnosis according to the present invention.
FIG. 8 is a graphical user interface (GUI) example showing the status of facilities as operating information of facilities in the stream status management part of the river facility management system through the river diagnosis according to the present invention.
9 is a graphical user interface (GUI) diagram illustrating dredging history management in a topographic data management unit of a river facility management system through a river diagnosis according to the present invention.
10 is a graphical user interface (GUI) diagram illustrating a diagnosis according to a scenario in a river diagnosis unit of a river facility management system through a river diagnosis according to the present invention.
11 is a graphical user interface (GUI) example showing the results of a two-dimensional repair and river bed variation model in a river diagnosis unit of a river facility management system through a river diagnosis according to the present invention.
12 is a graphical user interface (GUI) diagram illustrating a dredging plan management by model execution in a river diagnosis unit of a river facility management system through a river diagnosis according to the present invention.
FIG. 13 is a graphical user interface (GUI) diagram illustrating the selection of a risk section and a facility inspection priority in a river diagnosis section of a river facility management system through a river diagnosis according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a river facility management system based on a river diagnosis according to the present invention will be described in detail with reference to the accompanying drawings.

1 to 3, the Integrated Facility Management Center is for determining and managing the priority of inspection, repair and operation of river facilities through river diagnosis. The administrator PC 10 inputs various data into a database by a practitioner or an administrator.

An engineering workstation (EWS) 11 includes a grid generation system 220 and is capable of generating a calculation grid as a basic input data for performing a similarity and a river bed variation model in a grid generation system .

The middleware server 12 includes a data processing system (DPS), which performs data quality management (error correction, RDS correction logic) on hydrological information and facility operation information collected and inputted in the data processing system 120, In order to calibrate the ozone data by the algorithm and to calculate the flow data which is difficult to measure in real time, it is necessary to convert the flow data to the HQ Rating Curve at the water level observation point, correct the rain water data and AWS data, This is to convert and redistribute rainfall into the watershed through the Thissen network in units of space to be calculated.

The GIS server 13 provides spatial information for managing the terrain data, that is, the stream unit information, the stream boundary information, the inner and outer grid DEM, the river network, the facility location and the river characteristics, And a terrain data integration DB 210 including a DB 213, a spatial information DB 212, and a computation grid DB 211.

The integrated DB server 14 stores various data included in the stream status management unit 100, the terrain data management unit 200, the river diagnosis unit 300, and the facility operation management unit 400 and inputs and outputs the data. The integrated DB server 14 is provided with a stream status integration DB 110 including a facility status DB 113, a disaster history DB 112 and a hydrological information DB 111, 300, a model input DB 310, a model result DB 320 and a river diagnosis integration DB 330, and a facility management DB 410 in the facility operation management unit 400.

Next, the main function of the detailed configuration of the river facility management system through the river diagnosis from the main constitution of the integrated facility management center of the present invention, and the river facility management method through the river diagnosis will be described with reference to the flowchart of FIG.

The river status management unit 100 collects hydrological information such as real-time data collected from a water gauge, a flow meter, a rainfall gauge, AWS (Automatic Weather Stations), weather forecast information, and rainfall information by frequency, , And real-time facility operation information such as pump, real-time operation data and operation plan (S1).

The collected real-time data is corrected in the data processing system (DPS) 120 of the middleware server 12 by an algorithm including data quality management, that is, an error correction and RDS correction logic, In order to calculate the flow data which is difficult to measure in real time, it is converted into the flow data by the HQ Rating Curve at the water level observation point (S2). The rainfall data and the AWS data are transformed into the watershed rainfall through the Thissen network as a unit of space to be calculated after the correction of the mistake side, and 5, 10, Conversion to cumulative rainfall (time redistribution) of 30 minutes or 1 hour.

The real - time facility operation information is converted into the flow rate value by using the Weir formula and the pump efficiency formula according to the water gate opening rate to calculate the inflow amount according to the facility operation.

The disaster history information is stored in the disaster history DB 112 together with the scenario information including the rainfall condition and the river condition corresponding to the facility operation condition according to the disaster, the disaster map, the damage amount, and the related river facility information in the disaster area (S3) .

The river status integration DB 110 includes hydrological information (Raw Data) which is correction data processed in the data processing system 120, a disaster history DB 112, basic information of a facility, real-time operation information of facilities, And a facility status DB 113 constituted by maintenance history information, and is structured so that practitioners and field personnel can inquire through a web-based system. In addition, the results of operation, inspection, and repair performed in accordance with the plans established in the river facility management DB 410, specifications of the facilities, and maintenance status are reflected and stored in the river status integration DB 110.

The terrain data management unit 200 of the GIS server 13 collects river cross-sectional information, river boundary information, DEM information of inside and outside of the house, river network, facility location map, and river characteristic information, and is stored according to a spatial information standard format ). Then, a calculation grid, which is basic input data for performing the similarity and the bed variation model, is generated by the Mesh Generating Systems (MGS) 220 installed in the engineering workstation (EWS) 11 ). The computational grid basically supports Structured Mesh and Unstructured Mesh in accordance with the characteristics of the model, and controls the quality of the grid to control the divergence of the model according to the calculation result and the shape of the particle. Editing function.

Furthermore, the grid data stored in the standard format is converted in the next step to match the input file of ASCII type of the corresponding model when selecting model input data for stream diagnosis.

Next, full-scale river diagnosis is performed based on the collected stream status integration DB 110 and the terrain data integration DB 210.

There are two main ways of diagnosing the status of rivers. One is choosing maintenance and inspection priority of river facilities based on facilities installation date, structure condition evaluation, disaster data (disaster occurrence frequency), and disaster occurrence prediction data (probability of disaster occurrence) The other is the river diagnosis according to the scenarios through floodplain, similar and river bed variation model.

The river diagnosis according to river status is based on the above four factors (facility installation date, structure condition evaluation, disaster data (frequency of occurrence of disasters), disaster occurrence prediction data (disaster) The probability of occurrence)) is set, and if the reference value is exceeded by the factor exceeding the reference value, the primary priority is determined. If the evaluation item of each factor falls within the limit value, the factor (S6). In this case, the weighting and summing of stars are weighted and summed, and the second priority of inspection and maintenance, namely, Extreme, Significant, and Moderate are determined according to the values. Then, the contents are stored in the stream diagnosis DB 330, and the contents are displayed on the web so that the facility management person can establish the inspection, maintenance and operation plan based on the contents. Here, quantization and standardization are necessary because the factors are different for each factor when assigning and summing weights.

Furthermore, in order to determine the deterioration of each facility among the four factors, the installation date of the facility and the effective period of use of each facility are required. For example, in the case of an instrument, when the validity period (which is the reference value of the primary priority) of the measurement section, the packaging section, the power section, and the data logging section is different, and the effective period of each facility, Is determined as the primary priority irrespective of the importance of other factors.

Among the four factors, the structural condition evaluation is classified into A (excellent), B (good), C (normal), D (poor) and E (poor). For example, if E (bad), it is divided into the first priority. E (bad) becomes the reference value of the primary priority. Also, among the above four factors, if the frequency with which the facility is located in the disaster occurrence area is high according to the disaster occurrence history, it is rearranged to the first priority and the facility is moved to the disaster occurrence expected area Even if it is in one of the four factors).

However, in the present invention, even if the inspection result is not E (bad), even if the occurrence frequency of the disaster is high, the degree of damage due to the facility is serious, or the scenario , The weight of each factor shall be given to each factor according to the case where it is located in the disaster occurrence area, and the schedule of the inspection and inspection can be reflected in the plan so that it can be checked before the occurrence of disaster, .

The river diagnosis unit 300 according to the scenario basically performs the one-dimensional and two-dimensional repair and the river bed variation model (S7). REDOM, NAYS2D, TELEMAC2D, HDM2D, and CCHE2D models for the purpose of dredging planning, reservoir stability analysis, beam / scour sedimentation analysis, floodplain stability analysis,

4, time series input information of the model input DB 310 provided from the hydrological information DB 111, the stream characteristic DB 213 and the computational grid DB 211, computed mesh mesh information, The information was transformed through the input data conversion interface and then analyzed in the HEC-RAS model for watershed runoff and dredging, the optimal dredging plan simulation in the RIDOM model, the waterway stability analysis in the NAYS2D model, the beam and slugging analysis in the TELEMAC2D model, Stability analysis, and CCHE2D model. The model is transformed in the output data conversion interface and stored in the model result DB 320 separately for the flow / water level, sedimentation / erosion related pile / bed variation and optimum dredging plan.

In order to utilize the data stored in the terrain data management unit 200, each model has a different input format and output format, and the operation of converting the data into the input file format of each model and the single result file format Conversion work is needed to match the shape.

Prior to the execution of each model, a step of establishing a scenario including rainfall conditions and river conditions is preceded and various scenarios are defined in advance, so that the analysis result according to the hydrological conditions of the river, that is, the simulation results, can be immediately confirmed. It can be used to establish the management plan by providing effects of rivers and facilities by integrating river analysis results in various aspects analyzed according to the scenario.

The HEC-RAS model is an extended system of the HEC-2 model for analyzing the water surface curves with a stream analysis model developed by the US Army Corps of Engineers. If the HEC-2 model was developed to calculate steady-state point-to-point water surface curves in natural and artificial rivers, the HEC-RAS model includes not only steady flow but also unsteady flow and similar phenomena analysis functions. Therefore, it is possible to simulate upstream and downstream, and it can handle the analysis of uneven flow and unbalanced flow for bridges, hydrants, and culverts.

Based on the results of long-term riverbed variation through HEC-RAS, it is considered that river dredging should be considered when the safety factor is less than 1 by calculating the safety factor for each section.

Also, in order to prevent unclassified monitoring and underground dredging projects in advance, it is necessary to select the main monitoring points by observing the change of the safety factor according to the change of time with respect to the point where the safety factor is 1 or less, and it is possible to establish an economical strategy of dredging the river.

In order to establish the optimal dredging plan, a RIDOM (River Dredging Optimal Management Model) model was applied. The dredging plan was a sequential plan including dredging and dredging, dredging, dredging, treatment (dehydration) Therefore, it is necessary to define the life cycle as a system and consider the optimal solution for each stage so that the optimal plan for minimizing the impact on the overall cost, society and environment Can be established.

In the dredging optimization model, the performance of each purpose is summarized and evaluated. To this end, the weight between individual objectives and objectives and the performance of alternative design variables are combined. The multi-criteria decision analysis techniques used for this purpose are diverse, but the most widely used and relatively simple techniques use the multi-attribute utility function (MAUT) based on the additive utility function, Represented by an additive linear function.

The NAYS2D model was applied to examine the stability of the reservoir and the numerical model developed by Jang and Shimizu (2005) was used to simulate the two-dimensional flow behavior in the meandering stream. Two - dimensional continuity equation and momentum equation were used.

The NAYS2D analysis model is a two-dimensional mathematical model that performs calculations based on river terrain data (MESH). The MESH constructs a square mesh with longitudinal and transverse distances along the end of the stream, and constructs an initial stream DEM by using stream cross-sectional data.

Since the operation of the model is performed based on the generated grid, the calculation result is also derived from the grid.

Therefore, the mesh information is constructed in SHP format for GIS presentation of the model, and the result data for each node is constructed and linked.

TELEMAC2D model was applied to apply beam scour deposition. TELMAC2D is an open source program developed by EDF (Electricity de France, France) of France.

The TELEMAC2D simulation results can be used to discretize the analytical domain using the vertex-centered finite volume method with depth, depth, and average velocity at each node of the mesh, To apply the WAF technique and to control the numerical vibration occurring in the discontinuity section, a flux limiter satisfying the TVD (Total Variation Diminishing) condition was applied.

Many floodplain waterfront facilities are designed and constructed in the past by design guidelines that have little account for hydraulic effects.

In the floodplain, the water level rises as the flood level rises, and then the part that becomes the dry flood condition occurs. The flow pattern in the floodplain is much smaller than the flow in the main stream, .

Therefore, it is important to simulate the dryness and wetness of these floodplains and it is necessary to analyze them through 2D numerical analysis. In order to analyze the stability of the floodplain, two - dimensional flow analysis considering simulation of wetness and wetness is carried out and it can be utilized as basic data for the optimal operation management of river facility.

In order to investigate the stability of the floodplain, the HDM2D model is applied and the HDM2D model is a quasi - rectified flow analysis model. In case of unsteady flow analysis under sudden water level change like typhoon event, In order to solve this problem, we applied the quasi-rectified analysis, which analyzes the abnormal phenomenon every steady state every hour, in order to estimate the relative erosion and sediment distribution in the floodplain, Einstein-Krone And the Transient Erosion and Deposition Index (TEDI) using formula (1962).

In the merging section where the tributary stream meets the mainstream, the amount of flow from the main stream and the tributary flow is different and forms a more complicated flow. These changes in the flow characteristics are sensitive to various factors such as changes in the inflows of tributary streams, expansion and contraction of the troughs in the confluence, extension of tributary approaches and extension of the troughs, It can be seen that most of the points where problems such as sedimentation and underbody erosion occur are also the confluence part.

Thus, the change in flow characteristics at the confluence section can affect the topographic changes of the confluent section and the lower section, and sudden changes in the bed at the local section, such as the confluence section, can cause a threat to the stability of the underpass. Especially, if the erosion of the bed is continuously occurred at the part where the lower part and the lower part contact with each other, the angle of elevation of the lower part increases and erosion of the lower part occurs. It is necessary to quantitatively analyze the movement of the river basin, which is changed by river erosion, because the expansion of the river bottom due to river erosion may affect the residential facilities close to the river side including the river basins along the river side. Therefore, quantitative analysis and problem analysis of stream characteristics and river bed variation in merging sections are essential for efficient management of roads and disaster prevention measures.

In order to simulate the flow characteristics of the confluence section and the numerical simulation of the bed variation, the distribution of bed soil size distribution is possible, and the simulated transfer form can be simulated for the sludge, ), Engelund and Hansen (1967), Wu et al. (2000), and the SEDTRA Module (Garbrecht et al., 1995).

The model result data is visualized as a vector value such as a Scalar value and a flow velocity indicating a bed variation such as sediment erosion per each lattice in the GIS server 13, And the maximum and minimum values of the sedimentation amount and the sedimentation amount at a certain point are applied to determine the priority of the maintenance and inspection by comparing with the reference values of the sedimentation amount and the sedimentation amount.

The model result values are stored in the model result DB 320 together with the scenarios. The quantification values and the priorities are stored in the stream diagnosis integrated database 330 and are provided to the administrator through the web system.

Accordingly, the stream diagnosis unit 300 diagnoses according to the stream status, diagnoses according to scenarios, quantifies them, determines the maintenance and repair priorities based on the determined priorities, and stores the stream diagnosis results in the stream diagnosis integrated database 330 S8).

The facilities operation and management unit (400) is composed of the inspection, maintenance and operation planning section, the inspection and maintenance history information storage section, and the facility operation information section, and establishes a plan based on the result of the river diagnosis. The result of the maintenance is reflected in the river facility management DB 410 and stored in the river status integration DB 110 to correct the result of the planning by the river diagnosis unit 300 and is reflected when the next plan is established (S9).

In addition, in Fig. 5, the reflection of the facility inspection, maintenance and operation plan includes river facilities such as measuring facilities, drainage doors, multifunctional beams, embankments, other concrete structures, and mechanical facilities, as well as dredging of docks, reefs, multi- And a seizure facility of the river are stored in the river facility management DB 410.

While the invention has been shown and described with respect to the specific embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. Anyone with it will know easily.

10: Administrator PC 11: Engineering workstation 12: Middleware server 13: GIS server 14: Integrated DB server 100: Stream status management unit 110: Stream status integration DB 111: Hydrologic information DB 112: Disaster history DB 113: A data processing system includes a terrain data management unit, a terrain data integration DB, a calculation grid database, a spatial information database, a river characteristic DB, a grid generation system, a river diagnosis unit, : Integrated stream diagnosis DB 400: Facility operation management section 410: Stream facility management DB

Claims (8)

(a) collecting disaster history information, hydrological information, and facility operation information data from a terminal of a field person through a wired / wireless communication network in real time in a stream status management section by a field person in charge of a river facility;
(b) The river current management section corrects the omission data from the collected real-time data by the data quality management algorithm by the omission side correction and the RDS correction in the data processing system (DPS) of the middleware server, The flow data is converted into the HQ Rating Curve, and the rainfall data and AWS (Automatic Weather Stations) data are redistributed by the space time processing to be calculated, and the facility operation information is converted into the flow rate;
(c) The river status management unit stores the hydrological information and facility operation information processed in the hydrologic information DB of the river status integrated DB, stores the disaster history information in the disaster history DB of the river status integrated DB, Storing the information collected from the river facility management DB in the facility status DB of the river status integrated DB, respectively;
(d) The GIS server's terrain data management unit collects spatial information and stores it in the stream characteristic database and the spatial information DB of the terrain data integration DB according to the standard format, and the grid generation system (MGS) installed in the engineering workstation (EWS) Generating a computed grid as input data for performing the similarity and the bed variation model and storing the computed grid in the computed grid DB;
(e) The river diagnosis department receives the facility information of the four factors (installation date, structure condition evaluation, disaster data (disaster occurrence frequency), and disaster occurrence prediction data (disaster occurrence probability) And if the evaluation items for each factor are within the limit value, weights are given and added according to the importance of each factor, and according to the range of the sum value, ), Critical (Significant), and normal (Moderate) to determine the secondary priority and quantify according to the current status of the river diagnosis;
(f) The river diagnosis department receives the input data from the terrain data integration DB and the stream status integration database of the terrain data management unit, and inputs the result data obtained by the model execution through the floodplain, the similar and the river variation model and the scenario selection, A step of diagnosing according to a scenario in which a model result is stored after being stored in a DB;
(g) The river diagnosis department diagnoses according to the current status of rivers and diagnoses according to the scenarios. Then, in order to support the decision on the inspection and maintenance of the river diagnosis result that determines the maintenance priority and maintenance priority, And storing the plan in the integrated DB, and storing the plan established based on the result of the river diagnosis in the facility operation management section in the river facility management DB.
2. The method according to claim 1, wherein, in the step (e), the reference value is at least one of an effective use period of the facility when the factor is the installation date of the facility, E (bad) In case of occurrence prediction data, the method of management of river facilities through the diagnosis of the river, which is the probability of disaster occurrence.
2. The method of claim 1, wherein, in step (f), each model is different in each input format and output format, so that the input data is converted into an input file format of each model, A method of river facility management through stream diagnosis to convert the result file format to a single form.
The method according to claim 1, wherein in the step (f), the quantification of the model result is performed by summing up the entire sediment amount before and after the scenario and the entire sedimentation amount, applying the maximum and minimum values of the sedimentation amount and the reabsorption amount at the specified point, A method of management of river facilities through the diagnosis of rivers, which is a comparison between the sedimentation amount and the reference value of the ripening amount.
The data processing system of the middleware server collects the disaster history information, the hydrological information and the facility operation information inputted through the wired / wireless communication network terminal by the field person in charge in the inspection information and the maintenance information of the measurement facility and the operation facility installed on the field of the river facilities, And stores the updated facility operation information, maintenance and maintenance history information from the stream facility management DB of the facility operation management unit,
(EWS) lattice generation system (EWS), which collects river cross section information, river boundary information, DEM information of inside and outside ground, river network, facility location map and river characteristic information, A topographical data management unit for generating a calculation grid, which is a basic input data for carrying out the similarity and bed variation model in the MGS, and storing the calculation grid in the GIS server 's terrain data integration database;
Based on the four factors of installation date, structure condition evaluation, disaster data and disaster occurrence prediction data from the above river integration database, diagnosis based on the current status of river repair and maintenance priorities and floodplain, A stream diagnosis unit for storing diagnosis data in a database of the integrated diagnosis system of the integrated DB server,
Based on the river diagnosis result of the river diagnosis department, the plan is established and the results of operation, inspection and maintenance are stored in the DB management database of the integrated DB server according to the established plan, and the result of the established plan is corrected. The facility management system includes a facility operation management section that reflects the changes in the river facilities.
The system according to claim 5, wherein the river status integration DB is a river facility management system through a river diagnosis including a hydrological information DB, a disaster history DB, and a facility status DB.
The system according to claim 5, wherein the terrain data integration DB includes a river characteristic DB, a spatial information DB, and a calculation grid DB.
6. The method according to claim 5, wherein the river diagnosis according to the scenario in the river diagnosis unit is basically performed by a floodplain, a similar and a river bed variation model, and the dredging plan, the storage stability analysis, the beam / River facility management system based on river diagnosis including HEC-RAS, RIDOM, NAYS2D, TELEMAC2D, HDM2D, and CCHE2D model according to the purpose of river bed analysis.

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